Collaborate at any scale with dbt Mesh.

Allow domain teams to own their projects while staying aligned with shared definitions, governance, and cross-project lineage.

Infinity loop diagram illustrating the Analytics Development Lifecycle (ADLC), showing key stages from develop and test to deploy, plan, analyze, operate, observe, and discover.
The Analytics Development Lifecycle

dbt Mesh creates the right foundation for your data lifecycle.

Bring structure to how analytics work gets scoped and shared, making the rest of the lifecycle simpler, smoother, and better governed—from data development through to analysis.

Why dbt Mesh

Centralized governance, distributed access.

As teams and data grow, so does the risk of duplication, misalignment, and quality incidents. By enabling federated ownership and enhancing observability, dbt Mesh gives organizations the tools to scale data collaboration without sacrificing quality or speed.

Empower data teams

Give your teams the freedom to own their data pipelines and use the data platform of their choice—without the bottleneck of a central team

Centralize governance

Enable your central data team to maintain visibility of end-to-end lineage and set global development standards

Embrace flexible architecture

Data organizations come in many forms. Work with data tools that fit your architecture—not fight against it

Power governed collaboration.

Features built to support federated teams working across multiple projects, data platforms, and domains.

Cross-project references

Seamlessly reference models from other dbt projects—or other data platforms—to avoid duplication and streamline development

Visual example of cross-project references in dbt, showing how a ref function pulls from a product_analytics model to build a pendo_guide_event in the stg_customers model.

Less data work. More data that works.

From first model to federated data mesh, dbt is how modern data teams ship and scale trusted data.

Great data professionals never work alone

The dbt Community connects you with 100,000+ data professionals—people who share your challenges, insights, and ambitions.

Trusted by the best in data.

Leading organizations rely on dbt Mesh to build modular, governed, high-performing data ecosystems.

Siemens

Siemens uses dbt Mesh to establish a nimble and standardized Data Vault.

Already in our first dbt Cloud project we were amazed by the seamless collaboration dbt Cloud offers, allowing us to effortlessly work together on the same Snowflake project. With built-in tests, simple job scheduling, and easy deployment, dbt Cloud enabled us to immediately focus on the business case rather than spending time on our data architecture setup.

Rebecca Funk, IT Business Partner

93%reduction in daily load time, from 6 hours to 25 minutes
90%reduction in costs to maintain certain dashboards
Read Customer Study
Additional resources

Dig into dbt Mesh and modular data architectures.

Introduction

Intro to dbt Mesh

Learn more about dbt Mesh and explore best practices for deploying your own

Guide

Quickstart with dbt Mesh

Quickly set up your own multi-project architecture using the foundational concepts of dbt Mesh

FAQs

dbt Mesh FAQs

Answers to any questions you might have about dbt Mesh

Start planning with dbt Mesh.

Give your teams the autonomy they want—and the governance your organization needs.

Great data professionals never work alone

The dbt Community connects you with 100,000+ data professionals—people who share your challenges, insights, and ambitions.